Chinemerem Christopher Ibe-Ekeocha
Automotive Engineering · 2017
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Automotive Engineering — 9 citations into it; #1,493 of 3,081 by trust here, #2,181 by citations
- Electrical and Electronic Engineering — 6 citations into it; #9,064 of 16,539 by trust here, #11,977 by citations
Whom Chinemerem Christopher Ibe-Ekeocha trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Chinemerem Christopher Ibe-Ekeocha overall
Papers from Chinemerem Christopher Ibe-Ekeocha's perspective
Ordered by how strongly the researchers Chinemerem Christopher Ibe-Ekeocha trusts endorse each paper. Same corpus, a different order for every researcher.
- Battery-Management System (BMS) and SOC Development for Electrical Vehicles (IEEE Transactions on Vehicular Technology)
- State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model (IEEE Transactions on Vehicular Technology)
- Estimation of Battery State of Health Using Probabilistic Neural Network (IEEE Transactions on Industrial Informatics)
- Advancements in OCV Measurement and Analysis for Lithium-Ion Batteries (IEEE transactions on energy conversion)
- Stable Configuration of a Li-Ion Series Battery Pack Based on a Screening Process for Improved Voltage/SOC Balancing (IEEE transactions on power electronics)
- Nonlinear observers for predicting state-of-charge and state-of-health of lead-acid batteries for hybrid-electric vehicles (IEEE Transactions on Vehicular Technology)
- State of Charge Estimation of Lithium-Ion Batteries in Electric Drive Vehicles Using Extended Kalman Filtering (IEEE Transactions on Vehicular Technology)
- Battery, Ultracapacitor, Fuel Cell, and Hybrid Energy Storage Systems for Electric, Hybrid Electric, Fuel Cell, and Plug-In Hybrid Electric Vehicles: State of the Art (IEEE Transactions on Vehicular Technology)
- Development and Validation of a Battery Model Useful for Discharging and Charging Power Control and Lifetime Estimation (IEEE transactions on energy conversion)
- Li-Ion Battery SOC Estimation Method based on the Reduced Order Extended Kalman Filtering